Leaf Disease Detection with Neural Networks

The Leaf Disease Detection project employs neural networks to identify and diagnose diseases affecting plant leaves. By analyzing leaf images, the system accurately detects signs of diseases such as blight, rust, or powdery mildew. This application aids farmers in timely disease management, preventing crop losses and ensuring agricultural sustainability. The neural network’s ability to recognize subtle patterns and variations enhances the precision of disease identification, contributing to improved crop health.

Software Requirements :-

1. Operating System: Win 7 or more
2. Programming Language: Python

Hardware Requirement :-

1. Processor-i3
2. Hard disk-5GB
3. Memory-2GB RAM